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|
#!/usr/bin/env python2.7
# ----------------------------------
"""
Usage: do_dp_plots.py [Options]
Create a number of plots from test data on the theory of arrays. This
is rather specialized code. To change the number or contents of the
plots, edit the code below.
Plots can be displayed on the screen or written as eps files.
Options:
-h
Print this information and exit.
-f
Create result files (default is to display graphs via X)
-d<directory>
Point to the directory where the result files can be found. This
overrides the hard-coded default.
Copyright 2004, 2005 Stephan Schulz, schulz@eprover.org
This code is part of the support structure for the equational
heorem prover E. Visit
http://www.eprover.org
for more information.
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program ; if not, write to the Free Software
Foundation, Inc., 59 Temple Place, Suite 330, Boston,
MA 02111-1307 USA
The original copyright holder can be contacted as
Stephan Schulz (I4)
Technische Universitaet Muenchen
Institut fuer Informatik
Boltzmannstrasse 3
Garching bei Muenchen
Germany
or via email (address above).
"""
import re
import sys
import os.path
from os import system
import pylib_io
import pylib_graphs
cvc_sc_pat = re.compile("storecomm_[^i].*nf_ai")
cvc_scf_pat = re.compile("storecomm_[^i].*sf_ai")
e_sc_pat = re.compile("storecomm_[^i].*sf_ai")
e_sc_ni_pat = re.compile("storecomm_[^i].*sf_ni")
cvc_si_pat = re.compile("storeinv_[^i].*nf_ai")
cvc_sif_pat = re.compile("storeinv_[^i].*sf_ai")
e_si_pat = re.compile("storeinv_[^i].*sf_ai")
cvc_sw_pat = re.compile("swap_[^i].*nf_ai")
cvc_swf_pat = re.compile("swap_[^i].*sf_ai")
e_sw_pat = re.compile("swap_[^i].*sf_ai")
cvc_scinv_pat = re.compile("storecomm_invalid.*nf_ai")
cvc_scfinv_pat = re.compile("storecomm_invalid.*sf_ai")
e_scinv_pat = re.compile("storecomm_invalid.*sf_ai")
e_scinv_ni_pat = re.compile("storecomm_invalid.*sf_ni")
cvc_siinv_pat = re.compile("storeinv_invalid.*nf_ai")
cvc_sifinv_pat = re.compile("storeinv_invalid.*sf_ai")
e_siinv_pat = re.compile("storeinv_invalid.*sf_ai")
cvc_swinv_pat = re.compile("swap_invalid.*nf_ai")
cvc_swfinv_pat = re.compile("swap_invalid.*sf_ai")
e_swinv_pat = re.compile("swap_invalid.*sf_ai")
cvc_ios_pat = re.compile("ios_t1_ios_bia_np_sf_ai.*cvc")
e_ios_pat = re.compile("ios_t1_ios_np_sf_ai.*tptp")
#cvc_circqueue_pat = re.compile("circular_queue_t1_record_ios_mod_np_sf_ai.*cvc");
#cvc_queue_pat = re.compile("queue_t1_record_ios_np_sf_ai.*cvc");
#e_circqueue_pat = re.compile("circular_queue_t1_record_ios_mod_np_sf_ai.*tptp");
#e_queue_pat = re.compile("queue_t1_record_ios_np_sf_ai.*tptp");
cvc_circqueue_pat = re.compile("circular_queue_t1_native_record_ios_mod_np_sf_ai.*cvc");
cvc_queue_pat = re.compile("queue_t1_native_record_ios_np_sf_ai.*cvc");
e_circqueue_pat = re.compile("circular_queue_t1_native_record_ios_mod_np_sf_ai.*tptp");
e_queue_pat = re.compile("queue_t1_native_record_ios_np_sf_ai.*tptp");
dir = "/Users/schulz/SOURCES/Projects/VERONA/dp/array/TEST_RESULTS/"
files = False
options = pylib_io.get_options()
for o in options:
if o == "-f":
files = True
if o[0:2] == "-d":
dir = o[2:]
if o=="-h":
print __doc__
sys.exit()
if dir[-1]!="/":
dir = dir + "/"
dir = os.path.expanduser(dir)
plot_list = []
sd = {
"CVC" : 1,
"CVC Lite" : 2,
"CVC (flattened)" : 3,
"CVC Lite (flattened)" : 4,
"E (sts11), built-in index type" : 5,
"E (sts11), axiomatized indices" : 6,
"E (sts11)" : 6, # Intentional reuse!
"E (good-lpo), built-in index type" : 5,
"E (good-lpo), axiomatized indices" : 6,
"E (good-lpo)" : 6, # Intentional reuse!
"E (sts28)" : 7,
"E (std-kbo)" : 7,
"E (auto)" : 8
}
pylib_graphs.style_dict = sd
# All systems with system-specific input - T1
# Storecomm
data = [
("CVC" , dir+"protokoll_CVC_Auto", cvc_sc_pat),
("CVC Lite" , dir+"protokoll_CVCL_Auto", cvc_sc_pat),
("E (good-lpo), built-in index type" , dir+"protokoll_E_sts11_t1", e_sc_ni_pat),
("E (good-lpo), axiomatized indices" , dir+"protokoll_E_sts11_t1", e_sc_pat)
]
plot = pylib_graphs.plot("Storecomm, T1, Native", data)
plot_list.append(plot)
# Storecomm_invalid
data = [
("CVC" , dir+"protokoll_CVC_Auto", cvc_scinv_pat),
("CVC Lite" , dir+"protokoll_CVCL_Auto", cvc_scinv_pat),
("E (good-lpo), built-in index type", dir+"protokoll_E_sts11_t1", e_scinv_ni_pat),
("E (good-lpo), axiomatized indices" , dir+"protokoll_E_sts11_t1", e_scinv_pat)
]
plot = pylib_graphs.plot("Storecomm_invalid, T1, Native", data)
plot_list.append(plot)
#Storeinv
data = [
("CVC" , dir+"protokoll_CVC_Auto", cvc_si_pat),
("CVC Lite" , dir+"protokoll_CVCL_Auto", cvc_si_pat),
("E (good-lpo)" , dir+"protokoll_E_sts11_t1", e_si_pat)
]
plot = pylib_graphs.plot("Storeinv, T1, Native", data)
plot_list.append(plot)
#Storeinv_invalid
data = [
("CVC" , dir+"protokoll_CVC_Auto", cvc_siinv_pat),
("CVC Lite" , dir+"protokoll_CVCL_Auto", cvc_siinv_pat),
("E (good-lpo)" , dir+"protokoll_E_sts11_t1", e_siinv_pat)
]
plot = pylib_graphs.plot("Storeinv_invalid, T1, Native", data)
plot_list.append(plot)
#Swap
data = [
("CVC" , dir+"protokoll_CVC_Auto", cvc_sw_pat),
("CVC Lite" , dir+"protokoll_CVCL_Auto", cvc_sw_pat),
("E (good-lpo)" , dir+"protokoll_E_sts11_t1", e_sw_pat)
]
plot = pylib_graphs.plot("Swap, T1, Native", data)
plot_list.append(plot)
#Swap_invalid
data = [
("CVC" , dir+"protokoll_CVC_Auto", cvc_swinv_pat),
("CVC Lite" , dir+"protokoll_CVCL_Auto", cvc_swinv_pat),
("E (good-lpo)" , dir+"protokoll_E_sts11_t1", e_swinv_pat)
]
plot = pylib_graphs.plot("Swap_invalid, T1, Native", data)
plot_list.append(plot)
# All systems with flattend input - T1
# Storecomm
data = [
("CVC (flattened)" , dir+"protokoll_CVC_Auto", cvc_scf_pat),
("CVC Lite (flattened)" , dir+"protokoll_CVCL_Auto", cvc_scf_pat),
("E (good-lpo), built-in index type" , dir+"protokoll_E_sts11_t1", e_sc_ni_pat),
("E (good-lpo), axiomatized indices" , dir+"protokoll_E_sts11_t1", e_sc_pat),
]
plot = pylib_graphs.plot("Storecomm, T1, Flat", data)
plot_list.append(plot)
# Storecomm_invalid
data = [
("CVC (flattened)" , dir+"protokoll_CVC_Auto", cvc_scfinv_pat),
("CVC Lite (flattened)" , dir+"protokoll_CVCL_Auto", cvc_scfinv_pat),
("E (good-lpo), built-in index type", dir+"protokoll_E_sts11_t1", e_scinv_ni_pat),
("E (good-lpo), axiomatized indices" , dir+"protokoll_E_sts11_t1", e_scinv_pat),
]
plot = pylib_graphs.plot("Storecomm_invalid, T1, Flat",data)
plot_list.append(plot)
#Storeinv
data = [
("CVC" , dir+"protokoll_CVC_Auto", cvc_sif_pat),
("CVC Lite" , dir+"protokoll_CVCL_Auto", cvc_sif_pat),
("E (good-lpo)" , dir+"protokoll_E_sts11_t1", e_si_pat)
]
plot = pylib_graphs.plot("Storeinv, T1, Flat", data)
plot_list.append(plot)
#Storeinv_invalid
data = [
("CVC" , dir+"protokoll_CVC_Auto", cvc_sifinv_pat),
("CVC Lite" , dir+"protokoll_CVCL_Auto", cvc_sifinv_pat),
("E (good-lpo)" , dir+"protokoll_E_sts11_t1", e_siinv_pat)
]
plot = pylib_graphs.plot("Storeinv_invalid, T1, Flat", data)
plot_list.append(plot)
#Swap
data = [
("CVC" , dir+"protokoll_CVC_Auto", cvc_swf_pat),
("CVC Lite" , dir+"protokoll_CVCL_Auto", cvc_swf_pat),
("E (good-lpo)" , dir+"protokoll_E_sts11_t1", e_sw_pat)
]
plot = pylib_graphs.plot("Swap, T1, Flat", data)
plot_list.append(plot)
#Swap_invalid
data = [
("CVC" , dir+"protokoll_CVC_Auto", cvc_swfinv_pat),
("CVC Lite" , dir+"protokoll_CVCL_Auto", cvc_swfinv_pat),
("E (good-lpo)" , dir+"protokoll_E_sts11_t1", e_swinv_pat)
]
plot = pylib_graphs.plot("Swap_invalid, T1, Flat", data)
plot_list.append(plot)
# All systems with system-specific input - T3 on swap
#Swap
data = [
("CVC" , dir+"protokoll_CVC_Auto", cvc_sw_pat),
("CVC Lite" , dir+"protokoll_CVCL_Auto", cvc_sw_pat),
("E (good-lpo)" , dir+"protokoll_E_sts11_t3", e_sw_pat)
]
plot = pylib_graphs.plot("Swap, T3, Native", data)
plot_list.append(plot)
data = [
("CVC" , dir+"protokoll_CVC_Auto", cvc_swf_pat),
("CVC Lite" , dir+"protokoll_CVCL_Auto", cvc_swf_pat),
("E (good-lpo)" , dir+"protokoll_E_sts11_t3", e_sw_pat)
]
plot = pylib_graphs.plot("Swap, T3, Flat", data)
plot_list.append(plot)
# IOS
data = [
("CVC" , dir+"protokoll_CVC_Auto_ios", cvc_ios_pat),
("CVC Lite" , dir+"protokoll_CVCL_Auto_ios", cvc_ios_pat),
("E (good-lpo)" , dir+"protokoll_E_sts11_ios", e_ios_pat),
("E (std-kbo)" , dir+"protokoll_E_sts28_ios", e_ios_pat),
]
plot = pylib_graphs.plot("IOS", data)
plot_list.append(plot)
data = [
("CVC" , dir+"protokoll_CVC_Auto_ios", cvc_ios_pat),
("CVC Lite" , dir+"protokoll_CVCL_Auto_ios", cvc_ios_pat),
("E (std-kbo)" , dir+"protokoll_E_sts28_ios", e_ios_pat)
]
plot = pylib_graphs.plot("IOS_opt", data)
plot_list.append(plot)
# Queues
data = [
("CVC" , dir+"protokoll_CVC_Auto_ios", cvc_queue_pat),
("CVC Lite" , dir+"protokoll_CVCL_Auto_ios", cvc_queue_pat),
("E (good-lpo)" , dir+"protokoll_E_sts11_ios", e_queue_pat),
]
plot = pylib_graphs.plot("Queues", data)
plot_list.append(plot)
# Circular queues
data = [
("CVC Lite" , dir+"protokoll_CVCL_Auto_ios", cvc_circqueue_pat),
("E (good-lpo)" , dir+"protokoll_E_sts11_ios", e_circqueue_pat),
]
plot = pylib_graphs.plot("Circular queues", data)
plot_list.append(plot)
# E for IWIL
data = [
("CVC (flattened)" , dir+"protokoll_CVC_Auto", cvc_scf_pat),
("CVC Lite (flattened)" , dir+"protokoll_CVCL_Auto", cvc_scf_pat),
("E (good-lpo), built-in index type" , dir+"protokoll_E_sts11_t1", e_sc_ni_pat),
("E (good-lpo), axiomatized indices" , dir+"protokoll_E_sts11_t1", e_sc_pat)
]
plot = pylib_graphs.plot("Storecomm, Flat, IWIL", data)
plot_list.append(plot)
data = [
("CVC (flattened)" , dir+"protokoll_CVC_Auto", cvc_scfinv_pat),
("CVC Lite (flattened)" , dir+"protokoll_CVCL_Auto", cvc_scfinv_pat),
("E (good-lpo), built-in index type", dir+"protokoll_E_sts11_t1", e_scinv_ni_pat),
("E (good-lpo), axiomatized indices" , dir+"protokoll_E_sts11_t1", e_scinv_pat)
]
plot = pylib_graphs.plot("Storecomm_Invalid, Flat, IWIL", data)
plot_list.append(plot)
# Create files
for i in plot_list:
print "Title: "+i.title+ " (linear)";
i.gnuplot(files, None);
print "Title: "+i.title+ " (log)";
i.gnuplot(files, True);
|
